A Hybrid Information Retrieval Model Using Metadata and Text

Metadata IR model has high precision and low recall because the query in Metadata IR model is strict that is, the query can express user information need exactly, while Full-text IR model has low precision and high recall because the query in Full-text IR model is a kind of simple keyword query which expresses user information need roughly. If user can translate one's information need into structured query well, the retrieval result will be improved. However, it is little possible to make relevant query without understanding characteristics of metadata. Unfortunately, most users do not interested in metadata, then they cannot construct well-made structured query. Amount of information contained in metadata is less than text information. In this paper, we suggest hybrid IR model using metadata and text which can provide users with lots of relevant documents by retrieving from metadata field and text field complementarily. Key words : Requirements Change Management, Requirements Cha...

• Type: Conference
• Year: 2005
• Where: ICADL
• Authors: Sung Kim, Sung Myaeng, Jeong-Mok Yoo
• Keywords: Full-text IR Model, ICADL 2005, IR Model, Metadata IR Model